kangar00
Kernel Approaches for Nonlinear Genetic Association Regression
Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) from online databases. It provides functions for data preparation and evaluation of genetic influence on a binary outcome using the logistic kernel machine test (LKMT). Three different kernel functions are offered to analyze genotype information in this variance component test: A linear kernel, a size-adjusted kernel and a network-based kernel).
- Version1.4.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release05/09/2024
Documentation
Team
Juliane Manitz
Benjamin Hofner
Show author detailsRolesAuthorStefanie Friedrichs
Show author detailsRolesAuthorPatricia Burger
Show author detailsRolesAuthorNgoc Thuy Ha
Show author detailsRolesAuthorSaskia Freytag
Show author detailsRolesContributorHeike Bickeboeller
Show author detailsRolesContributor
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- Imports6 packages
- Suggests1 package
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